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Fractional-order Fibonacci-hybrid functions approach for solving fractional delay differential equations

机译:求解分数延迟微分方程的分数级斐波纳契 - 混合函数方法

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The aim of the current paper is to propose an efficient method for finding the approximate solution of fractional delay differential equations. This technique is based on hybrid functions of block-pulse and fractional-order Fibonacci polynomials. First, we define fractional-order Fibonacci polynomials. Next, using Fibonacci polynomials of fractional-order, we introduce a new set of basis functions. These new functions are called fractional-order Fibonacci-hybrid functions (FFHFs) which are appropriate for the approximation of smooth and piecewise smooth functions. The Riemann-Liouville integral operational matrix and delay operational matrix of the FFHFs are obtained. Then, using these matrices and collocation method, the problem is reduced to a system of algebraic equations. Using Newton's iterative method, we solve this system. Some examples are proposed to test the efficiency and effectiveness of the present method. Given the application of these kinds of fractional equations in the modeling of many phenomena, a numerical example of this work includes the Hutchinson model which describes the rate of population growth.
机译:目前纸张的目的是提出一种有效的方法,用于找到分数延迟微分方程的近似解。该技术基于块脉冲和分数级斐波纳契多项式的混合函数。首先,我们定义分数令斐波纳契多项式。接下来,使用Fibonacci的分数顺序多项式,我们介绍了一组新的基础函数。这些新功能称为分数级斐波纳契 - 混合功能(FFHF),适用于平滑和分段平滑函数的近似。获得了riemann-liouville积分运算矩阵和FFHFS的延迟运行矩阵。然后,使用这些矩阵和搭配方法,问题减少到代数方程的系统。使用牛顿的迭代方法,我们解决了这个系统。提出了一些示例以测试本方法的效率和有效性。鉴于在许多现象的建模中应用这些类型的分数方程,该工作的数值示例包括描述群体生长速率的霍金森模型。

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